Instructions to use LocalLite/python-code-summarization-ministral-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LocalLite/python-code-summarization-ministral-8B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LocalLite/python-code-summarization-ministral-8B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- adapter_config.json +3 -3
- adapter_model.safetensors +1 -1
adapter_config.json
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"target_modules": [
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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"target_modules": [
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"q_proj",
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"down_proj",
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"up_proj",
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"o_proj",
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"gate_proj"
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],
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 698419728
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version https://git-lfs.github.com/spec/v1
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oid sha256:22453362e45c5c6e15d10c1583cc5a158a9487d1836abe058012ecb1b8f6aea1
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size 698419728
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